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inkflow

inkflow_capabilities

INKFLOW's full catalogue: complete full-length books (45k up to 900,000-word COLOSSAL editions, every genre, 22 languages written natively), multi-volume series with automatic continuity bibles, manuals/SOPs/technical specs, and ULTRA-trained LoRA digital actors (.safetensors, rank-64, for AI video production) with persistent-world object LoRAs. Returns products, tiers, genres, languages and live prices in the requested currency. Machine-audited quality on every chapter; typical novel delivered in under 24 hours. (Book-to-movie episodic adaptation is in development and not currently orderable.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
currencyNoISO currency for prices (default USD)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the disclosure burden. It clearly signals an informational read-style query by saying 'Returns', lists what is returned, and adds an important availability caveat about the non-orderable book-to-movie adaptation. It does not explicitly say 'read-only', but the wording makes side effects unlikely.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with 'full catalogue' and 'Returns', but then becomes a long marketing-style run-on with details like 900,000-word editions, LoRA rank-64, and 24-hour delivery. These details are not needed for invoking the tool and dilute the actionable instruction.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple optional-parameter catalogue lookup with no output schema, the description is largely complete: it states the returned fields, currency handling, and an unavailable offering. A more precise return shape or an explicit 'this is only a listing, not an order' statement would be the only meaningful additions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter, currency, is fully described in the schema as an ISO currency string with a default of USD. The description's mention of 'live prices in the requested currency' reinforces the parameter but does not add meaningful semantics beyond the schema. Baseline 3 applies due to 100% schema description coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource ('INKFLOW's full catalogue') and a clear action ('Returns products, tiers, genres, languages and live prices'). It is clearly distinguished from transactional siblings by being informational and by explicitly flagging that book-to-movie adaptation is not currently orderable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is implied: use this tool to retrieve catalogue information and live prices. However, it never names sibling alternatives such as inkflow_quote or inkflow_order, nor does it state when not to use it. The guidance is present but implicit rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct action: balance vs topup are check/add credit, quote vs order are estimate/purchase, and job_status/choose_actor_face/capabilities each serve a unique workflow step. There is no meaningful overlap between any two tools.

Naming Consistency3/5

All tools share the inkflow_ snake_case prefix, but the set mixes bare noun endpoints (balance, capabilities, job_status, free_samples) with imperative verb phrases (order, quote, topup, sell_your_lora, train_ultra_lora_actor). This is readable but not a consistent verb_noun convention.

Tool Count5/5

Ten tools is well within the ideal 3-15 range, and each tool earns its place by covering a distinct part of the platform: account, catalogue, quoting, ordering, status, samples, actor training, and marketplace selling. The scope matches the server's purpose without bloat.

Completeness4/5

The core lifecycle is well covered: discover capabilities, get a quote, place an order, top up credit, and monitor progress. Minor gaps exist such as order history/cancellation and marketplace listing management, but agents can work around these for the primary workflows.

Resources